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PDE solving on 3D Navier-Stokes flow

0.1695Error (t=40)FNO (with 2-step loss)
0.163420.204460.24550.28654Jun 15, 2022

Evaluation results

MethodLinks
FNO (with 2-step loss)Runtime (s)=7, Representation dimension=16.76 x 10^6, # Parameters=3281864, # Parameters for evolution model=3281864, Training time (min) per epoch=102, Memory usage (MiB)=251472022.060.1695
LE-PDE-latentRuntime (s)=1.03, Representation dimension=16.76 x 10^6, # Parameters=71396976, # Parameters for evolution model=71396976, Training time (min) per epoch=69, Memory usage (MiB)=213612022.060.187
LE-PDERuntime (s)=0.084, Representation dimension=128, # Parameters=65003120, # Parameters for evolution model=83072, Training time (min) per epoch=65, Memory usage (MiB)=255952022.060.1947
FNO (with 1-step loss)Runtime (s)=7, Representation dimension=16.76 x 10^6, # Parameters=3281864, # Parameters for evolution model=3281864, Training time (min) per epoch=58, Memory usage (MiB)=248912022.060.3215